Evidence map›Paper›PMID 41094663›Full record

ReviewBiology of sex differences2025

Understanding sex and gender disparities in COVID-19 mortality: a narrative review beyond biology.

Patricia Lemarchand, Madeleine Pape, Joëlle Schwarz

Abstract readReview
In one paragraph

Review in Biology of sex differences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Patricia LemarchandNantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, F-44000, France. patricia.lemarchand@univ-nantes.fr.ORCID 0000-0002-5330-2008
Madeleine Pape *Institute of Social Sciences, University of Lausanne, Géopolis, Quartier Mouline, 1015 Lausanne, Switzerland.
Joëlle Schwarz *Healthand Gender Unit, Unisanté, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMen have consistently experienced higher COVID-19 mortality than women across most countries and time periods, prompting widespread investigation into potential biological causes. Early research focused on sex-related genetic, hormonal, and immunological mechanisms to explain these disparities. MAIN BODY: This narrative review traces the evolution of scientific explanations for women/men mortality differences in COVID-19, from early biological hypotheses to more nuanced gendered and intersectional models. While some studies suggest sex-linked genetic variants, chromosomal mechanisms, or hormone-regulated expression of viral entry receptors might partially explain men's higher mortality, the overall evidence remains inconsistent and inconclusive. Increasingly, attention has shifted to social and structural factors, including occupational exposure, pre-existing health conditions, healthcare access, and behaviors, that can differently shape vulnerability to COVID-19 in women and men. Data disaggregated by gender and race further revealed significant heterogeneity in outcomes, underscoring the influence of intersecting axes of inequality. International comparisons suggested that gender inequality at the societal level was associated with wider women/men COVID-19 mortality gaps. Analyses that overlook the interaction between sex- and gender-related factors and their intersection with racial disparities and socioeconomic status risk obscuring the underlying drivers of COVID-19 disparities.

conclusionSex-related biological factors may have influenced COVID-19 outcomes, but they do not adequately account for the observed differences in mortality between women and men. Approaching the study of health inequities through a gendered, intersectional framework is essential for accurately identifying and addressing underlying risk factors, and for better understanding how sex- and gender-related factors may interact, not only in COVID-19, but across a broad range of health conditions.

Indexed as

COVID-19Health Status DisparitiesSex CharacteristicsFemaleHumansMaleSARS-CoV-2Sex FactorsComorbiditiesCOVID-19EntanglementGenderMortalityPublic healthSexSocial determinants of healthStructural inequalities

Identifiers

PMID41094663
PMCPMC12522764

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.